为了提高鬼成像的速度, 提出了基于阈值分割的并行压缩差分鬼成像方法。首先通过设置合理的阈值筛选出涨落较为明显的数据进行采样; 然后再通过并行分块降低图像维度, 提高整体运算速度; 最后通过压缩感知重构算法重构图像。通过对图“BUAA”的半物理仿真以及透射物体“光”的实验结果表明, 与普通的二阶赝热光关联成像相比, 该方法能以更少的采样次数和运行时间重构图像, 可提升成像信噪比。

To improve the speed of ghost imaging, the parallel compressed differential ghost imaging method is proposed based on threshold segmentation (TS-PCGI). Firstly, the large fluctuation of sampled data is selected by setting a reasonable threshold. Secondly, parallel computing divides the image into four parts. Finally, the image is restored through compressed sensing reconstruction algorithm. The results of a semi-physical simulated figure “BUAA” and experimental object "light" show that this method can restore the object image with less sampling and time compared with conventional second-order correlated imaging. The signal noise ratio is improved.